Meanwhile, cross-lingual fake news detection is one of the most important applications of cross-lingual text classification. It has already created significant social impacts on alleviating the infodemic problem in low-resource languages. The research works on cross-lingual text classification and cross...
leading to negative impacts. As the tactics employed by purveyors of fake news continue to evolve, there is an urgent need for automatic fake news detection (FND) to mitigate its adverse social consequences. Machine learning (ML) and deep learning (DL) techniques have ...
logistics, energy, life sciences, and hardware design. Most of these problems are formulated with graphs. As a result, a lot of ink over the last century has been spilled on algorithmic approaches that solve CO problems more efficiently; however, the ML-driven revolution...
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Detection of fraud in IoT based credit card collected dataset using machine learning Mohammed Naif Alatawi March 2025View PDF Research articleOpen access Adaptive gate residual connection and multi-scale RCNN for fake news detection QunHui Zhou, Tijian Cai ...
Fake News Detection on Social Media using Geometric Deep Learning 运费骗保识别 [Ant Group] Uncovering Insurance Fraud Conspiracy with Network Learning 贷款违约预测 [Ant Group] Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining 洗钱识别 [IBM] Anti-Money Laundering in Bitcoin: ...
- Dependability Challenges in Safety-Critical Systems: the adoption of Machine learning - Andrea Bondavalli (University of Florence, Italy) - Fake News Detection - Alexander Schindler (Austrian Institue of Technology, Austria) - AI recursiveness and virtue - Wessel Reijers (University of Wien, Austri...
Detection of fraud in IoT based credit card collected dataset using machine learning Mohammed Naif Alatawi March 2025View PDF Research articleOpen access Adaptive gate residual connection and multi-scale RCNN for fake news detection QunHui Zhou, Tijian Cai ...
Detection of fraud in IoT based credit card collected dataset using machine learning Mohammed Naif Alatawi March 2025View PDF Research articleOpen access Adaptive gate residual connection and multi-scale RCNN for fake news detection QunHui Zhou, Tijian Cai ...
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection. Appl. Soft Comput. 2021, 107, 107393. [Google Scholar] [CrossRef] Bullock, J.; Luccioni, A.; Pham, K.H.; Lam, C.S.N.; Luengo-Oroz, M. Mapping the landscape of artificial ...